Classification Theorem Classification Algorithm

J48 Classification Algorithm The J48 classification algorithm considers all the possible tests that can split the data set and selects a test that gives the best information gain. So, whenever it encounters a training set it identifies the attribute that discriminates the various instances in a most clear way. From the possible values, if there is an attribute with unique value and if it has the same value as that of target value then the branch is ended For the other cases, other attribute with the highest gain is considered. This process is continued till we obtain a combination of attributes with the highest information gain or till we do not have any more attributes to test. The scenario in which we do not have any more attributes, the branch is assigned an average value or the value majorly possessed by the items. One Rule Classification Algorithm OneR also known as One Rule is a classification algorithm that generates one rule for each predictor in the data set. The attributes used for classification are known as predictors and the attribute classified is known as the target. After the generation of rule, the rule with the smallest error is considered as the â€Å"one rule.† A frequency table is generated for the creation of rule for a predictor. The results generated with the help of oneR algorithm are easy to interpret and are in easy readable format. Algorithm: For each predictor, For each value of that predictor, evaluate rule by following these steps;Show MoreRelatedClassification Of Data Mining Techniques1512 Words   |  7 Pagestechniques makes easier to predict hidden patterns from the data. The most popular data mining techniques are classification, clustering, regression, association rules, time series analysis and summarization. Classification is a data mining task, examines the features of a newly presented object and assigning it to one of a predefined set of classes. In this research work data mining classification techniques are applied to disaster data set which helps to categorize the disaster data based on the typeRead MoreTypes Of Speech Databases1068 Words   |  5 Pagesdisgust, fear, joy, sadness and surprise. V. Speech Emotion Detection Algorithms The main function of the emotion detection system is to use all the collected data and its features to identify the emotion expressed in it. To perform this a classifier algorithm can be used to create a classification model. There are several options of classification algorithms that can be used for this purpose. Some of the top choices of algorithm based on research and existing systems include Bayes classifier, SupportRead MoreMethodology And Procedures Used In The Lp754 Words   |  4 Pagesmethodology and procedures employed in the LULC study included reviewing previous studies specific to the study area, interpretation and analysis of recent and middle-aged satellite images, NDVI and DNDVI analysis, preliminary land use and land cover classification and mapping, field and signature data collection and verification, and post land cover mapping (methodology Fig.2). During pre-fieldwork, the images were rectified and enhanced to create a more realistic representation of the scene and land coverRead MoreClassification Between The Objects Is Easy Task For Humans1101 Words   |  5 PagesClassification between the objects is easy task for humans but it has proved to be a complex problem for machines. The raise of high-capacity computers, the availability of high quality and low-priced video cameras, and the increasing need for automatic video analysis has generated an interest in object classification algorithms. A simple classification system consists of a camera fixed high above the interested zone, where images are captured and consequently processed. Classification includes imageRead MoreConcrete Gravity Dams1188 Words   |  5 Pages Table of Contents Table of Contents 1 1. Introduction 2 2. Literature Review 2 3. Classification Techniques in Machine Learning 3 3.1 K-nearest Neighbor 3 3.2 Support Vector Machine 4 3.3 Naà ¯ve Bayes Classifier 5 References 8 Introduction Dams are important structures to supply water for irrigation or drinking, to control flood, and to generate electricity. The safety analysis of concrete gravity dams in seismic regions is significant due to the high potential of life and economic lossesRead MoreText Analytics And Natural Language Processing1099 Words   |  5 Pagesgraphically displayed constructing a sentiment time line with the chosen value (frequency, percentages, and averages) over time.B. Classifier Sentiment classification techniques are divided into three approaches: 1. Machine learning , 2. Lexicon based , 3. Hybrid . 1. Machine Learning Machine learning approach depends on the Machine Learning algorithms for the solutions of the sentiment analysis. The machine learning approach is used for predicting the polarity of sentiments based on trained as wellRead MorePredictive Analytics And The Health Care Industry1002 Words   |  5 PagesBefore proceeding to review a range of predictive analytic algorithms, it is important to know how critical predictive analytics is to the health care industry. The growth rate of US healthcare expenditures, increasing annually by nearly 5% in real terms over the last decade and a major contributor to the high national debt levels projected over the next two decades. McKinsey estimates that Big Data can enable more than $300 billion savings per year in US healthcare, with two-thirds of that throughRead MoreMeasuring A Computational Prediction Method For Fast And Determining The Protein Structural Class1279 Words   |  6 Pagesclasses are predicted. To evaluate the performance of the proposed algorithm with the existing algorithms, four datasets, namely 25PDB, 1189, D640 and FC699 are used. In thi s work, an Improved Support Vector Machine (ISVM) is proposed to predict the protein structural classes. The comparison of results indicates that Improved Support Vector Machine (ISVM) predicts more accurate protein structural class than the existing algorithms. Keywords—Protein structural class, Support Vector Machine (SVM),Read MoreThe Generation Strategy And The Definitions Of Strategies1064 Words   |  5 PagesThe intricacy of the information gain for a corpus containing n records and d words is O(n†¢d†¢ k) 1.4 Classification Automatic Text classification has dependably been a vital application and research point since the beginning of advanced reports. Today, Text classification is a need because of the huge measure of content archives that we need to manage day by day. Areas in which Text classification is regularly utilized are: †¢ News filtering and Organization: News administrations deliver huge measureRead MoreNotes On Machine Learning And The Development Of Computer Programs1342 Words   |  6 Pagesstudies techniques allowing a robot to acquire unique skills or adapt to its environment through learning algorithms. Robot learning can be closely related to adaptive control, reinforcement learning as well as developmental robotics which considers the problem of autonomous lifelong acquisition of repertoires of skills. While machine learning is frequently used by computer vision algorithms employed in the context of robotics, these applications are usually not referred to as robot learning. [7]